Minding Broken Clocks

Consider you have a server that is running behind a firewall and, for security
reasons, cannot make external http(s) requests. Further, you have R running on
this server and you need to install a set of packages. The simple approach of
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If you cache code chunks when using
knitr to generate reproducible
documents then you’ve likely had the issue arrise of needing to load the results
of cached chunks into an active interactive R session. The functions
lazyload_cache_dir and lazyload_cache_labels have been added to the
developmental version of qwraps2 to make
loading cached objects into an interactive R session easy.
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Almost every biomedical research paper requires a “Table 1: baseline patient
characteristics.” Many developers have published tools to help streamline the
construction of such tables. The qwraps2::summary_table function is my
contribution to the toolbox.
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The stats::update function is one of my favorite tools in R. Using this
function saves a lot of time and effort when needing to modify an object.
However, this function has its limits. The following is an example of how to
extend the use of stats::update.
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I’ve spent the last several hours of yesterday this early morning putting the
initial dewittpe.github.io page together. I hope you, the wandering web surfer,
or the unfortunately sentient web spider, enjoy what you have found.
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